Vector stores

Cancel a vector store file batch

POST /openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel

Cancels a vector store file batch by its identifier.

Parametry ścieżki

vector_store_id string wymagane

The ID of the vector store that the file batch belongs to.

batch_id string wymagane

The ID of the file batch to cancel.

Odpowiedzi

The request has succeeded.

Treść

Content-Type: application/json

id string wymagane

The identifier, which can be referenced in API endpoints.

object enum wymagane

The object type, which is always vector_store.file_batch.

vector_store.file_batch

created_at integer wymagane

The Unix timestamp (in seconds) for when the vector store files batch was created.

vector_store_id string wymagane

The ID of the vector store that the File is attached to.

status enum wymagane

The status of the vector store files batch, which can be either in_progress, completed, cancelled or failed.

in_progresscompletedcancelledfailed

file_counts OpenAI.VectorStoreFileBatchObjectFileCounts wymagane

in_progress integer wymagane

completed integer wymagane

failed integer wymagane

cancelled integer wymagane

total integer wymagane

Żądanie

curl https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/cancel \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -H "OpenAI-Beta: assistants=v2" \
  -X POST

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
)
vector_store_file_batch = client.vector_stores.file_batches.cancel(
    batch_id="batch_id",
    vector_store_id="vector_store_id",
)
print(vector_store_file_batch.id)

import OpenAI from "openai";
const openai = new OpenAI();

async function main() {
  const deletedVectorStoreFileBatch = await openai.vectorStores.fileBatches.cancel(
    "vsfb_abc123",
    { vector_store_id: "vs_abc123" }
  );
  console.log(deletedVectorStoreFileBatch);
}

main();

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
});

const vectorStoreFileBatch = await client.vectorStores.fileBatches.cancel('batch_id', {
  vector_store_id: 'vector_store_id',
});

console.log(vectorStoreFileBatch.id);

package main

import (
    "context"
    "fmt"

    "github.com/openai/openai-go"
    "github.com/openai/openai-go/option"
)

func main() {
    client := openai.NewClient(
        option.WithAPIKey("My API Key"),
    )
    vectorStoreFileBatch, err := client.VectorStores.FileBatches.Cancel(
        context.TODO(),
        "vector_store_id",
        "batch_id",
    )
    if err != nil {
        panic(err.Error())
    }
    fmt.Printf("%+v
", vectorStoreFileBatch.ID)
}

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.vectorstores.filebatches.FileBatchCancelParams;
import com.openai.models.vectorstores.filebatches.VectorStoreFileBatch;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        FileBatchCancelParams params = FileBatchCancelParams.builder()
            .vectorStoreId("vector_store_id")
            .batchId("batch_id")
            .build();
        VectorStoreFileBatch vectorStoreFileBatch = client.vectorStores().fileBatches().cancel(params);
    }
}

require "openai"

openai = OpenAI::Client.new(api_key: "My API Key")

vector_store_file_batch = openai.vector_stores.file_batches.cancel("batch_id", vector_store_id: "vector_store_id")

puts(vector_store_file_batch)

Response

{
  "id": "vsfb_abc123",
  "object": "vector_store.file_batch",
  "created_at": 1699061776,
  "vector_store_id": "vs_abc123",
  "status": "in_progress",
  "file_counts": {
    "in_progress": 12,
    "completed": 3,
    "failed": 0,
    "cancelled": 0,
    "total": 15,
  }
}